Robert Rahardja

Evidence

The role description, line by line.

What I have shipped against each requirement, with dates. Where I am newer — climate science and geospatial — I say so, and show how I closed the gap.

Skills & experience — required

  1. 01

    Software engineering and senior technical leadership

    • Managing Director & Co-Founder, StarTech Innovation (2021–22 and 2024–present): architect and hands-on developer.
    • Software Engineering Manager, OxPay (2023): led 10 developers and DevOps engineers.
    • Application Consultant & Technical Lead, NCS Group (2020–21, 2022–23); Blockchain Technology Lead, No Wall (2018–19).
    • Programmer / Analyst, National University of Singapore (2001–02). BSc Computing (Hons), University of Portsmouth.
  2. 02

    Taking products from early development to commercial scale

    • StarTech (2021–22): delivery and business-management platform serving 300+ merchants; team of 8 engineers across Flutter, Spring Boot and Angular.
    • 2R Trade (2002–18): built a medical-device company with its own Morico product line (30+ hospital equipment designs) and distribution across Indonesia.
    • StarTech today: AI co-pilot in production for a paying client; ERP and payroll engine for Singapore and Indonesia.
  3. 03

    Architecture, cloud platforms, enterprise delivery

    • OxPay: AWS with CDK, Lambda, ECS/Fargate, CodePipeline; Control Tower and landing-zone design; deployment time cut by 60%.
    • NCS: Ministry of Defence National Service application for 50,000+ users; Spring to Spring Boot modernisation; React/TypeScript front end.
    • StarTech payroll engine: 7,060 automated tests across 484 calculator classes.
  4. 04

    Regulated and financial-services clients; security and auditability

    • OxPay: payment systems built to MAS Technology Risk Management and PCI-DSS requirements.
    • Defence-grade deployment pipeline at NCS; healthcare data-residency work at StarTech.
    • Financial-services grounding: Fidelity Investments (1998); NASD Series 6 and 7 licences.
  5. 05

    LLMs, RAG and AI agents in production

    • StarTech AI co-pilot: retrieval over the client’s own documents, layered organisational context, four reasoning modes, multi-LLM routing (provider switched without touching product code), speech-to-text with action-item extraction. Runs on Cloudflare Workers, D1, KV, R2 and Vectorize.
    • Agentic engineering in daily use (multi-agent research, coding and review) — this site and its reference library were built with those workflows.
  6. 06

    Data engineering, APIs and scalable infrastructure

    • This demo’s pipeline: STAC search, cloud-optimised GeoTIFFs and Zarr hazard cubes read over HTTP, typed schema, tests, provenance per value.
    • Bank-statement import, de-duplication and reconciliation for a vehicle exporter moved off spreadsheets (StarTech case study).
  7. 07

    Leading teams and managing external partners

    • Led teams at OxPay (10) and StarTech (8); mentored engineers and set coding standards at NCS.
    • I have been the external partner myself (NCS consultancy, StarTech for clients), so I scope partner work as testable outcomes.
    • Trilingual: English, Indonesian, Mandarin — useful across Singapore, Indonesia and Greater China partners.

Highly desirable

Where I stand, stated plainly.

Newer — closed deliberately

Sustainability, climate and environmental data

Built a 100-page reference library on TNFD, ISSB, SBTN, NGFS, PCAF, APAC regulation, physical/transition/nature risk and the vendor landscape, then built this demo on it.

Shown in the demo

Geospatial data, satellite imagery, remote sensing, GIS

Sentinel-2 via STAC with cloud masking, Zarr hazard cubes, return-period handling, CRS and no-data discipline, OpenStreetMap protected areas, MapLibre.

Shown in the demo

Familiarity with TNFD, ISSB, SBTN

The disclosure view maps results to IFRS S2 ¶29, AASB S2 and TNFD LEAP/C3.0, and states what each metric still needs.

Strong

Early-stage and high-growth experience

Founder or early technical lead at StarTech, Jaungle Computing and No Wall; 16 years running 2R Trade.

Partial

Scientific modelling, commercialising research

Research computing tools at NUS. I would pair with the science team and hire a hazard scientist early — see the plan.

Why this site exists

Anyone can claim “AI and data platforms”. This shows the kind I build.

Instead of describing the work, I built a small working version of it: honest geospatial numbers, the disclosure metrics they feed, and a plan a board can hold me to.

Open the demo →Read the plan